KR20230172636A - Method and apparatus for safely providing advertisement while driving in v2x environment - Google Patents

Abstract

Embodiments include a method of safely providing advertising while driving in a V2X environment, which is executed by a vehicle controller, comprising: obtaining user information of a first driver; obtaining vehicle-related information of the first driver; Obtaining vehicle driving information for the vehicle, obtaining location information and external information of the vehicle, and selecting the first advertisement based on user information, vehicle-related information, vehicle driving information, location information, and external information to create a cluster. It may include the step of outputting through .

Description

Method and device for safely providing advertising while driving in a V2X environment {METHOD AND APPARATUS FOR SAFELY PROVIDING ADVERTISEMENT WHILE DRIVING IN V2X ENVIRONMENT}

Embodiments relate to a method and device for safely providing advertisements while driving in a V2X (vehicle to everything) environment. More specifically, it relates to a method and device for providing optimized advertising through a cluster based on vehicle-related information and user information.

The vehicle's cluster functions to display various information related to driving. For example, the cluster indicates the status of speed, engine RPM, remaining fuel, coolant temperature, brake fluid, and washer fluid. Recently, these clusters are being converted from analog to digital, and with digital conversion, more information can be displayed on the cluster and provided to the driver.

In addition, vehicle displays that display clusters are evolving into various forms. For example, a display panel that displays images in a vehicle is fixed at a specific location inside the steering wheel and can only provide preset information. However, with the development of vehicle displays, display panels are being installed in various shapes and locations. Accordingly, a method of variably operating UI/UX considering the above-described display panel may be needed. Additionally, advertisements can be provided to users through a cluster, and a method to efficiently provide advertisements may be needed. In the following, specific methods for this are described.

Korean Patent Publication No. 10-2022-0049103

This specification relates to a method and device for safely providing advertising while driving in a V2X environment.

This specification relates to a method and device for providing advertisements through a cluster based on vehicle-related information and user information.

This specification relates to a method and device for providing advertising based on autonomous driving and ADAS (advanced driver assistance systems).

This specification relates to a method and device for providing advertisements based on vehicle driving.

This specification relates to a method and device for providing advertisements based on driver's driving pattern information.

The problem to be solved by this specification is not limited to the above, and can be expanded to various matters that can be derived by the embodiments of the invention described below.

According to an embodiment of the present specification, in a method of safely providing advertising while driving in a V2X (vehicle to everything) environment, which is executed by a vehicle controller, the method includes obtaining user information of the first driver, Obtaining vehicle-related information, obtaining vehicle driving information for the first driver's vehicle, obtaining location information and external information of the vehicle, and user information, vehicle-related information, vehicle driving information, location information, and external information. It may include selecting a first advertisement based on the information and outputting it through the cluster.

In addition, according to an embodiment of the present specification, user information, vehicle-related information, vehicle driving information, location information, and external information are applied as input information of artificial intelligence, and the first advertisement is output by artificial intelligence based on the input information. It is applied as information, and the first advertisement may be selected from one of the advertisement list including at least one advertisement.

In addition, according to an embodiment of the present specification, the vehicle controller determines whether the vehicle is stopped based on vehicle driving information, and when the vehicle is stopped, the vehicle controller determines whether the vehicle is stopped based on external information obtained from an RSU (road side unit). Information on the remaining stopping time can be derived, and the first advertisement that does not exceed the remaining stopping time information can be selected from the advertisement list.

Additionally, according to an embodiment of the present specification, the first advertisement may be selected from the advertisement list by reflecting the vehicle's stopping time, the processing time in which the first advertisement is derived based on artificial intelligence, and the remaining stopping time information.

In addition, according to an embodiment of the present specification, the first advertisement is selected from the advertisement list by further reflecting the vehicle's autonomous driving setting level information, and the vehicle controller determines the playback time of the first advertisement using the vehicle's autonomous driving setting level information. When the vehicle is at the first level, the vehicle controller plays the first advertisement after a preset time from the vehicle's stopping time, and when the vehicle is at the second level, the vehicle controller is independent of the vehicle's stopping time. The first advertisement can be played.

In addition, according to an embodiment of the present specification, the first driver's vehicle-related information is information obtained based on an external server, the vehicle-related information includes driver's license information, passenger information, and usage period information, and the first advertisement is determined based on vehicle-related information, but the first advertisement may be selected from the advertisement list as an advertisement related to the passenger based on passenger information among vehicle-related information.

In addition, according to an embodiment of the present specification, the controller of the vehicle further derives driving pattern information of the first driver based on vehicle-related information and vehicle driving information, and provides current location information of the vehicle based on location information and external information. And the traffic volume information can be further derived, and the first advertisement can be selected by checking whether the first driver can operate the navigation based on the driving pattern information, location information, and traffic volume information.

In addition, according to an embodiment of the present specification, the user information includes at least one of the first driver's gender information, age information, educational background information, and social relationship information, and the vehicle driving information is based on the first driver's vehicle circumnavigation. Based on this, it may include at least one of speed information, yaw rate information, steering angle information, and autonomous driving setting information.

Additionally, according to an embodiment of the present specification, the vehicle controller may be interlocked with the first device of the first driver and obtain user information of the first driver from the interlocked first device.

Additionally, according to an embodiment of the present specification, the vehicle and the first device are linked based on an application provided by a server, and the server is based on the first user's unique ID for the first driver and the vehicle's unique ID. Integration can be managed.

This specification has the effect of safely providing advertising while driving in a V2X environment.

This specification can provide a method of providing advertisements through a cluster based on vehicle-related information and user information.

This specification has the effect of providing advertising based on autonomous driving and ADAS.

This specification has the effect of providing advertising based on vehicle driving.

This specification has the effect of providing advertisements based on the driver's driving pattern information.

The problem to be solved by this specification is not limited to the above, and can be expanded to various matters that can be derived by the embodiments of the invention described below.

It should be understood that the effect of the present specification is not limited to the matters described above, and can be expanded to various contents that can be derived from the detailed description of the embodiments of the invention below.

1 is a diagram illustrating an example of the operating environment of a system according to an embodiment of the present specification.
Figure 2 is a block diagram for explaining the internal configuration of the computing device 200 in one embodiment of the present specification.
Figure 3 shows the operating environment of the design management system 1000 that manages cluster UI design elements according to an embodiment of the present specification.
Figure 4 is a block diagram of a cluster design management device 100 applicable to various cluster screen types according to an embodiment of the present specification.
Figure 5 is a diagram showing mobility to which various cluster screens are applied according to an embodiment of the present specification.
Figure 6 is a diagram showing a display panel on which various cluster screens are displayed according to an embodiment of the present specification.
Figure 7 is a diagram showing the operation between a smart device and mobility according to an embodiment of the present specification.
Figure 8 is a diagram showing a method of variably setting mobility UX/UI according to an embodiment of the present specification.
Figure 9 is a diagram showing a method of variably updating mobility UX/UI according to an embodiment of the present specification.
FIG. 10A is a diagram illustrating a method of obtaining driver information according to an embodiment of the present specification.
FIG. 10B is a diagram illustrating a method of obtaining driver driving information according to an embodiment of the present specification.
FIG. 10C is a diagram illustrating a method of obtaining driver-related information according to an embodiment of the present specification.
Figure 10d is a diagram showing a method of deriving optimized advertising information based on artificial intelligence according to an embodiment of the present specification.
Figure 11a is a diagram showing a method of deriving optimized advertising information according to an embodiment of the present specification.
Figure 11b is a diagram showing a method of deriving optimized advertising information according to an embodiment of the present specification.
Figure 12 is a diagram showing a method of providing advertising information based on vehicle driving according to an embodiment of the present specification.
FIG. 13A is a diagram illustrating a method of providing advertising information considering vehicle stopping time according to an embodiment of the present specification.
FIG. 13B is a diagram illustrating a method of providing advertising information based on autonomous driving according to an embodiment of the present specification.
Figure 13b is a diagram showing a method of providing advertising information based on ADAS according to an embodiment of the present specification.
Figure 14 is a flowchart showing a method of safely providing advertising while driving in a V2X environment according to an embodiment of the present specification.
Figure 15 is a flowchart showing a method of safely providing advertising while driving in a V2X environment according to an embodiment of the present specification.

In describing the embodiments of the present specification, if it is determined that a detailed description of a known configuration or function may obscure the gist of the embodiments of the present specification, the detailed description thereof will be omitted. In addition, in the drawings, parts that are not related to the description of the embodiments of the present specification are omitted, and similar parts are given similar reference numerals.

In the embodiments of the present specification, when a component is said to be “connected,” “coupled,” or “connected” to another component, this refers not only to a direct connection relationship, but also to an indirect relationship where another component exists in between. Connection relationships may also be included. In addition, when a component is said to "include" or "have" another component, this does not mean excluding the other component, but may further include another component, unless specifically stated to the contrary. .

In the embodiments of this specification, terms such as first, second, etc. are used only for the purpose of distinguishing one component from other components, and do not limit the order or importance of components unless specifically mentioned. No. Therefore, within the scope of the embodiments of the present specification, the first component in an embodiment may be referred to as a second component in another embodiment, and similarly, the second component in the embodiment may be referred to as the first component in another embodiment. It may also be called.

In the embodiments of the present specification, distinct components are intended to clearly explain each feature, and do not necessarily mean that the components are separated. That is, a plurality of components may be integrated to form one hardware or software unit, or one component may be distributed to form a plurality of hardware or software units. Therefore, even if not specifically mentioned, such integrated or distributed embodiments are also included in the scope of the embodiments of the present specification.

In this specification, a network may be a concept that includes both wired and wireless networks. At this time, the network may refer to a communication network in which data exchange between devices, systems, and devices can be performed, and is not limited to a specific network.

Embodiments described herein may have aspects that are entirely hardware, partly hardware and partly software, or entirely software. In this specification, “unit,” “device,” or “system” refers to computer-related entities such as hardware, a combination of hardware and software, or software. For example, in this specification, a part, module, device, or system refers to a running process, processor, object, executable, thread of execution, program, and/or computer. It may be a (computer), but is not limited thereto. For example, both an application running on a computer and the computer may correspond to a part, module, device, or system in the present specification.

Additionally, in this specification, the device may be a mobile device such as a smartphone, tablet PC, wearable device, and HMD (Head Mounted Display), as well as a fixed device such as a PC or a home appliance with a display function. Additionally, as an example, the device may be a cluster within a vehicle or an Internet of Things (IoT) device. That is, in this specification, a device may refer to devices capable of operating an application, and is not limited to a specific type. In the following, for convenience of explanation, the device on which the application runs is referred to as a device.

In this specification, the network communication method is not limited, and connections between each component may not be connected through the same network method. The network may include not only a communication method utilizing a communication network (for example, a mobile communication network, wired Internet, wireless Internet, broadcasting network, satellite network, etc.), but also short-range wireless communication between devices. For example, a network can include objects and any communication method through which objects can be networked, and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or other methods. For example, wired and/or networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed Downlink Packet Access (HSDPA), W-CDMA (Wideband Code Division Multiple Access), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and It may refer to a communication network using one or more communication methods selected from the group consisting of MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), and ultrasonic communication. However, it is not limited to this.

Components described in various embodiments do not necessarily mean essential components, and some may be optional components. Accordingly, embodiments consisting of a subset of the elements described in the embodiments are also included in the scope of the embodiments of the present specification. In addition, embodiments that include other components in addition to the components described in the various embodiments are also included in the scope of the embodiments of the present specification.

Hereinafter, embodiments of the present specification will be examined in detail with reference to the drawings.

1 is a diagram illustrating an example of the operating environment of a system according to an embodiment of the present specification. Referring to FIG. 1, one or more user devices 110-1 and 110-2 and one or more servers 120, 130, and 140 are connected through a network 1. Figure 1 is an example for explaining the invention, and the number of user devices or servers is not limited as in Figure 1.

One or more user devices 110-1 and 110-2 may be fixed terminals implemented with a computer system or mobile terminals. One or more user devices 110-1 and 110-2 include, for example, a smart phone, a mobile phone, a navigation device, a computer, a laptop, a digital broadcasting terminal, a Personal Digital Assistant (PDA), or a Portable Multimedia Player (PMP). , tablet PCs, game consoles, wearable devices, IoT (internet of things) devices, VR (virtual reality) devices, AR (augmented reality) devices, etc. For example, in embodiments, user device 110 may be one of a variety of physical computer systems capable of communicating with other servers 120 - 140 over network 1 using substantially wireless or wired communication methods. It can mean.

Each server may be implemented as a computer device or a plurality of computer devices that communicate with one or more user devices 110-1 and 110-2 through the network 1 to provide commands, codes, files, content, services, etc. there is. For example, the server may be a system that provides each service to one or more user devices 110-1 and 110-2 connected through the network 1. As a more specific example, the server provides the service (for example, provision of information, etc.) targeted by the application to one or more user devices through an application as a computer program installed and running on one or more user devices (110-1, 110-2). It can be provided as (110-1, 110-2). As another example, the server may distribute files for installing and running the above-described application to one or more user devices 110-1 and 110-2, receive user input information, and provide a corresponding service.

Figure 2 is a block diagram for explaining the internal configuration of the computing device 200 in one embodiment of the present specification. This computing device 200 can be applied to one or more user devices 110-1, 110-2 or servers 120-140 described above with reference to FIG. 1, and each device and server may add some components or By being configured by excluding them, they may have the same or similar internal configuration.

Referring to FIG. 2 , the computing device 200 may include a memory 210, a processor 220, a communication module 230, and a transceiver 240. The memory 210 is a non-transitory computer-readable recording medium, and is a non-perishable large capacity device such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, etc. It may include a permanent mass storage device. Here, non-perishable mass storage devices such as ROM, SSD, flash memory, disk drive, etc. may be included in the above-mentioned device or server as a separate persistent storage device that is distinct from the memory 210. In addition, the memory 210 stores an operating system and at least one program code (for example, code for a browser installed and running on the user device 110, etc., or an application installed on the user device 110 to provide a specific service, etc.). It can be. These software components may be loaded from a computer-readable recording medium separate from the memory 210. Such separate computer-readable recording media may include computer-readable recording media such as floppy drives, disks, tapes, DVD/CD-ROM drives, and memory cards.

In another embodiment, software components may be loaded into the memory 210 through the communication module 230 rather than a computer-readable recording medium. For example, at least one program is a computer program (for example, installed by files provided through the network 1) by developers or a file distribution system (for example, the server described above) that distributes the installation file of the application. It may be loaded into the memory 210 based on the above-described application).

The processor 220 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to the processor 220 by the memory 210 or the communication module 230. For example, processor 220 may be configured to execute received instructions according to program code stored in a recording device such as memory 210.

The communication module 230 may provide a function for the user device 110 and the servers 120 - 140 to communicate with each other through the network 1, and the device 110 and/or the servers 120 - 140, respectively. This can provide functions for communicating with other electronic devices.

The transceiver unit 240 may be a means for interfacing with an external input/output device (not shown). For example, external input devices may include devices such as a keyboard, mouse, microphone, and camera, and external output devices may include devices such as a display, speaker, and haptic feedback device.

As another example, the transceiver 240 may be a means for interfacing with a device that integrates input and output functions, such as a touch screen.

Additionally, in other embodiments, computing device 200 may include more components than those of FIG. 2 depending on the nature of the device to which it is applied. For example, when the computing device 200 is applied to the user device 110, it is implemented to include at least some of the above-described input/output devices, or a transceiver, a Global Positioning System (GPS) module, a camera, various sensors, It may further include other components such as a database, etc. As a more specific example, if the user device is a smartphone, the smartphone generally includes various devices such as acceleration sensors, gyro sensors, camera modules, various physical buttons, buttons using a touch panel, input/output ports, and vibrators for vibration. It can be implemented to include more components.

As an example, the devices, mobility, and servers described below may be the computing device 200 of FIG. 2 described above. As an example, the device may be a smartphone, tablet, PC, or other device used by the user. Additionally, as an example, the device may be a wearable device that is worn on the user's body, such as a smart watch or smart band. Additionally, as an example, the device may be a type of device that can communicate with other devices and share data, and is not limited to a specific type. Additionally, as an example, the mobility device may be the computing device 200 of FIG. 2 . Here, the mobility may be a vehicle, or it may be a device that includes each component as the computing device 200 of FIG. 2 and performs communication with other devices based on this. Additionally, as an example, mobility may be in the form of a drone or other movable device other than a vehicle equipped with the computing device 200 of FIG. 2, and may not be limited to a specific form. Mobility may be a vehicle, but may not be limited thereto, and the description below is based on a vehicle for convenience of explanation.

FIG. 3 may be an operating environment of a design management system 300 that manages cluster UI design elements according to an embodiment of the present specification. As an example, the design management system 300 may be managed by the above-described server, but is not limited to a specific embodiment. Referring to FIG. 3, the design management system 300 may receive cluster-related designs from a plurality of designers (D). “Cluster-related design” refers to the user interface design (hereinafter referred to as cluster UI design) displayed on a vehicle cluster (vh) and/or the user interface design (hereinafter referred to as smartphone UI design) of a corresponding device (M, such as a smartphone). It can be included.

The above-described cluster UI design and smartphone UI design may be composed of a plurality of display information (design elements), and the display information may change dynamically. Additionally, display information can be changed through user interaction. For example, the display information that makes up the cluster UI design may be an arbitrary aesthetic image or a function display image that displays a specific function. Function display images may include, but are not limited to, car speedometer, RPM, flow rate, coolant, car door opening, weather, navigation information, etc.

Cluster-related designs created by designers can be received and managed by the design management system 300 through the web or app provided by the design management system 300. Additionally, the design management system 300 may provide such cluster-related designs to a device or vehicle system (directly or via a user device) through the web or app. Additionally, the provided cluster-related design may be modified, supplemented, or updated by a designer or design management system.

When various cluster-related designs are provided to the user, the user can select the cluster-related design he wants and apply it to his smartphone or cluster. The design management system 300 according to an embodiment of the present specification may provide a cluster design management method, a computer program, or a device for executing the same that can be applied to various cluster screen types.

Figure 4 is a block diagram of a cluster design management device 400 applicable to various cluster screen types according to an embodiment of the present specification. The cluster design management device 400, applicable to various cluster screen types, may be included in the above-described design management system 300 (i.e., an external server or device separate from the vehicle) or may be included in an in-vehicle control system, but is not limited thereto. .

Referring to FIG. 4, the cluster design management device 400 applicable to various cluster screen types may include a screen area comparison unit 410, a cluster UI design modification unit 420, and a design application unit 430, In another embodiment, a database 440 or a communication interface 450 may be further included. The database 440 may include various types of cluster UI designs uploaded by designers for various vehicle types and/or cluster UI designs automatically generated by the device 400. Additionally, the communication interface 450 may provide or perform an environment and function for the device 400 to communicate with an external device. For example, the above-described external device may be an in-vehicle communication module, a device, an external server, or a designer's terminal, but is not limited thereto.

In other embodiments, device 400 may include more components depending on the nature of the device being applied. For example, the device 400 has various configurations such as a transceiver, a Global Positioning System (GPS) module, an acceleration sensor or a gyro sensor, various physical buttons, buttons using a touch panel, input/output ports, and a vibrator for vibration. It can be implemented to include more elements.

Based on the above, a cluster UI design applied to the vehicle may be determined and provided. As an example, FIG. 5 may be a diagram illustrating a vehicle 500 provided with a cluster UI design in an embodiment of the present disclosure. As an example, the cluster within the vehicle 500 is being changed from an analog form to a digital form, and may not be fixed to a specific form. Referring to FIG. 5, the display within the vehicle 500 may be located in an area where an existing analog cluster is located, but is not limited thereto. For example, a display for displaying a cluster may be provided inside the steering wheel of the vehicle 500, and the cluster may be displayed through this. As an example, the above-described cluster UI design may be a cluster UI applied to the above-described display. As another example, the display may be mounted on the vehicle 500 in various forms. For example, the horn may be removed and a display may be installed in the area where the horn is installed on the steering wheel in the vehicle 500. As another example, the horn on the steering wheel may be removed and a display installed inside the steering wheel to improve cluster readability. As another example, a display in the form of a head up display (510) may be installed on the glass of the vehicle 500, and cluster information may be provided based on this. As another example, the vehicle's analog buttons (e.g. air conditioner, emergency lights) can be removed, a display can be applied to the corresponding area, and it is not limited to a specific form.

Additionally, as an example, the vehicle 500 may include a controller that controls the display 510 and other components described above. Additionally, the vehicle 500 may further include a transceiver that performs wireless communication with the outside, through which data can be exchanged with an external device. Here, the controller of the vehicle 500 may be configured to control the display or transceiver. Additionally, the controller of vehicle 500 may further control other configurations and is not limited to a specific embodiment. In the following, for convenience of explanation, the description is based on the vehicle 500. However, control of the vehicle 500 may be performed through a controller of the vehicle 500, and is not limited to a specific embodiment.

FIG. 6 is a diagram illustrating various types of displays of a vehicle 500 according to an embodiment of the present disclosure. However, Figure 6 is only an example and may not be limited thereto. As an example, the vehicle 500 may be equipped with at least one display 511, 512, and 513. The display 511 may be installed on the vehicle window to suit the driver's field of view in relation to the driver's driving. As another example, the display 512 may be installed in a vehicle steering wheel, and the display 513 may be installed and utilized in other locations. That is, displays may be provided at various locations within the vehicle 500, and digital clusters may be displayed. Additionally, as an example, information in various forms other than clusters may be displayed on the display and is not limited to a specific form. Considering the above, a different type of cluster from the fixed analog type cluster of an existing vehicle may be used. In other words, clusters can be provided in various forms, and taking this into consideration, there is a need for cluster UI/UX to be provided variably. As another example, audio/video and other information provided by the cluster may also be provided differently.

FIG. 7 is a diagram illustrating a method in which a device 600 and a vehicle 500 are linked and operate together according to an embodiment of the present disclosure. As an example, the device 600 and the vehicle 500 may operate in conjunction with each other. For example, as shown in FIG. 3 , the cluster UI design applied to the vehicle 500 and the smartphone UI design applied to the device 600 may be provided based on the design management system 300. For example, when the user of the device 600 performs communication by connecting the device 600 and the vehicle 500 through authentication with the vehicle 500, the user of the device 600 considers the user characteristics and The cluster UI design of the vehicle 500 can be changed differently. Through this, the cluster UI design and smartphone UI design can be determined by reflecting the preferences of the device 600 user as the driver of the vehicle 500.

As another example, each display 511, 512, and 513 may be controlled based on the controller of the vehicle 500. Additionally, the controller may be connected to a cable through which the vehicle's driving data is transmitted. Based on the driving of the vehicle 500, the controller provides at least one of driving speed information, steering wheel rotation information, yaw rate information, mileage information, information on the intensity or time of pressing the brake pedal and accelerator, and other information related to driving. The above can be converted into data. That is, the controller of the vehicle 500 can obtain data related to vehicle driving. Here, the controller of the vehicle 500 can share data through communication with an external device. As an example, the controller of the vehicle 500 may transmit the driver's driving-related data to the server. As another example, the controller of the vehicle 500 may transmit data related to vehicle driving to the device 600. As another example, the controller of the vehicle 500 can transmit data related to vehicle driving to the design management system 300 described above, and through this, the cluster UI design and the smartphone UI design can be variably changed.

Figure 8 is a diagram showing a method of determining a cluster UI design and a smartphone UI design according to an embodiment of the present disclosure. As an example, as described above, the server may obtain data related to vehicle driving from the vehicle 500. At this time, the server may transmit the above-described information to the design management system 300. As another example, the design management system 300 may directly obtain data related to vehicle driving from the vehicle 500, and is not limited to a specific embodiment. At this time, the design management system 300 can produce skins for cluster UI design and smartphone UI design and manage them through Cloudo. Afterwards, the cluster UI design of the vehicle 500 and the smartphone UI design of the device 600 are determined through the cloud, and each information can be provided to the vehicle 500 and device 600. (S810) Afterwards, each user can use the vehicle 500 and device 600 based on the provided cluster UI design and smartphone UI design. Here, vehicle driving information for each user can be derived. Additionally, user information for each user may be derived. That is, vehicle driving information and user information for each user are derived and converted into data, and the corresponding information can be provided to the server. (S820) As an example, a cluster is clustered based on the vehicle driving information and user information for each user. Preferred function information can be derived from . As another example, user preference design information may be derived based on vehicle driving information and user information for each user. As another example, individual information for each user may be derived based on vehicle driving information and user information for each user. That is, cluster UI design and smartphone UI design update information can be derived based on vehicle driving information and user information for each user. Thereafter, the corresponding information may be provided to the above-described design management system 300 through the server. (S830) At this time, the design management system 300 creates the cluster UI design and smartphone UI design based on the above-described information. It can be updated. As another example, the design management system 300 may selectively provide a cluster UI design and a smartphone UI design preferred by each user based on individual user information, and is not limited to a specific embodiment. As an example, preference function information may be obtained based on information obtained from each user.

As a more specific example, “battery temperature display information” and “motor power information” may be derived as user preference function information. At this time, the server and design management system 300 can apply design and functions to the cluster UI design and smartphone UI design based on the above-described information. As another example, “electric vehicle data” information may be derived as information obtained from each user. At this time, the server and design management system 300 derives information about battery status, charging, capacity, mileage, and residual value based on the above-described information, and provides this as a cluster UI design and smartphone UI design. . Here, as an example, the server and design management system 300 may be able to selectively reflect the above-described information in the cluster UI design and smartphone UI design based on whether the vehicle 500 is an electric vehicle, in a specific embodiment. It is not limited to

Here, as an example, for the above-described operation, the device 600 and the vehicle 500 may operate based on ID information as identification information. As an example, a user of the device 600 may be given a unique user ID based on an application that operates based on the above-described server and design management system 300. Additionally, as an example, the vehicle 500 may also be given a unique vehicle ID based on an application that operates based on the server and design management system 300 described above. Here, when the device 600 and the vehicle 500 are linked, the unique user ID of the device 600 user and the vehicle unique ID may be paired and managed. That is, the user of the device 600 can connect to the vehicle 500 by recognizing the user's unique ID and the vehicle's unique ID according to the application that operates based on the server and design management system 300. At this time, the server and design management system 300 can provide a cluster UI design and a smartphone UI design by considering the user unique ID and vehicle unique ID pair information. As an example, the cluster UI design provided to the vehicle 500 may be configured based on user information corresponding to the user's unique ID. Additionally, technical features applied to each vehicle may be different, and the cluster UI design may be configured to reflect vehicle information based on the vehicle's unique ID. That is, the cluster UI design can be determined based on the user's unique ID and vehicle's unique ID.

As another example, vehicle driving-related information may also be obtained based on the user unique ID and vehicle unique ID described above. More specifically, when the controller of the vehicle 500 acquires driving-related information, driving-related information can be acquired based on the user's unique ID and vehicle's unique ID when a specific user uses a specific vehicle. . Through the above, the server and design management system 300 can obtain preferred information for each user.

Figure 9 is a diagram showing a method of updating a cluster UI design according to an embodiment of the present disclosure. Referring to FIG. 9, the vehicle 500 can control the vehicle display by obtaining cluster UI design information from the server or design management system 300 (S910). That is, the vehicle 500 obtains the determined cluster UI design information. Based on this, the cluster can be displayed on the displays 511, 512, and 513 in the vehicle. Here, the vehicle 500 can display a different design UI for each user, as described above. Afterwards, the server and design management system 300 may acquire information about the user using the vehicle 500 (S920). That is, the server and design management system 300 may acquire information about the user using the specific vehicle 500. You can obtain information about. At this time, the above-described information may be information related to vehicle driving information and cluster UI design preference, and may not be limited to a specific form.

Afterwards, the server and design management system 300 may derive cluster UI/UX information based on the acquired information (S930). That is, the server and design management system 300 may derive cluster UI/UX information based on the acquired information. UI/UX information can be updated. Afterwards, the server and design management system 300 may update the cluster UI design of the vehicle 500 and the smartphone UI design. As an example, the vehicle 500 may be equipped with a communication function, and the cluster UI design and smartphone UI design may be updated based on an OTA (over the air) method and provided to the user.

Based on the above, the cluster can be displayed through the vehicle's displays 511, 512, and 513 based on a cluster UI design that reflects driver information driving the vehicle 500. Additionally, the device 600, as the driver of the vehicle 500, can provide cluster information to the user based on the smartphone UI design that reflects driver information. That is, a user of the device 600 driving the vehicle 500 can receive cluster information through a cluster UI design and a smartphone UI design customized based on user information.

Figures 10a to 10d are diagrams showing a method of deriving relevant information to safely provide advertisements in a V2X environment. As an example, referring to FIG. 10A, the device 600 may obtain user information 1010. Here, the user information 1010 may be information 1010 related to the user of the device 600. More specifically, the user information 1010 may be gender, age, education level, social relationship information, and other information related to the user. As an example, the user information 1010 may be information obtained through a platform used by the user of the device 600. As another example, the user information 1010 may be information directly input by the user through an application provided based on the above-described server and design management system 300. As another example, the user information 1010 may be information obtained based on the usage history of the device 600, and is not limited to a specific embodiment. Here, as an example, the user information 1010 may be the user's unique ID and may be information obtained based on the user's unique ID. As an example, the user's unique ID may be an ID set through an application provided based on the above-described server and design management system. That is, it may be unique identification information of the device 600 user.

Additionally, as an example, referring to FIG. 10B, driving-related information 1020 of the vehicle may be obtained through the controller of the vehicle 500. At this time, the vehicle driving-related information 1020 may include average speed information, yaw rate information, steering angle information, autonomous driving setting information, ADAS setting information, location information, and other information related to vehicle driving. , is not limited to specific embodiments. Here, as an example, when the driving information 1020 of the vehicle is acquired through the controller of the vehicle 500, the vehicle 500 uses the device as a driver based on the application provided based on the server and design management system 300. (600) After identifying the user, vehicle driving information (1020) can be obtained. As an example, the user of the device 600 may be connected to the vehicle 500 based on his or her unique user ID through the above-described application. Here, the vehicle 500 may also include a unique vehicle ID. That is, the user of the device 600 can link the device 600 and the vehicle 500 through the user's unique ID and the vehicle unique ID of the vehicle 500 based on the application. Thereafter, the controller of the vehicle 500 may identify the driver currently driving based on the user's unique ID, obtain and store vehicle driving information 1020 for each driver.

Here, as an example, the vehicle driving information 1020 may be information reflecting vehicle driving status information, location information, surrounding information, and other complex information. More specifically, the user's average driving speed information may not have a clear meaning by itself. Here, there is a need to derive average driving speed information by considering whether the user is driving in a city, on a highway, or in another environment. As an example, in consideration of the above, vehicle driving information 1020 may reflect information obtained based on the driver's current location and surrounding devices. Here, the driver's current location information may be determined based on the location information confirmation module installed in the vehicle 500. As another example, the driver's current location information may be information obtained through the device 600 and transmitted to the vehicle 500.

As another example, the vehicle 500 may obtain information about the current road environment and other user information based on information obtained from a highway toll gate or information obtained from a road side unit (RSU). As a more specific example, when the vehicle 500 is driving on a highway, vehicle driving-related information 1020 may be derived through the controller of the vehicle 500. Here, average driving speed information for the current vehicle 500 can be derived by considering the driving time of the current vehicle 500 and surrounding traffic volume. As an example, it may be determined whether a specific user is a driver who drives slower or faster than the average driving speed set in consideration of the environment of the current vehicle 500. Through this, driving characteristic information can be derived as the current driver's driving tendency.

As another example, vehicle driving information 1020 may be derived by considering the driver's personal information. For example, the personal information of the driver driving the vehicle 500 can be obtained based on the unique user ID of the device 600, and the driver's personal information can be confirmed through this. However, the above-described information is only an example and is not limited to the above-described embodiment.

Additionally, as an example, referring to FIG. 10C, the controller of the vehicle 500 may obtain vehicle-related information 1030 from the external server 700. Here, the external server 700 may be a server where the user registers vehicle-related information 1030. As an example, the vehicle-related information 1030 may be driver's license information, passenger information, usage period information, and other information about vehicle use. Here, the user can register vehicle-related information 1030 to the external server 700 through the device 600. As a specific example, the external server 700 may be a server operated by a rental company, but is not limited to this. Here, the server and design management system 300 may be linked with the external server 700. As an example, the vehicle 500 is registered and managed on the external server 700, and the above-described server and design management system 300 is linked to the external server 700 based on the above-described cluster UI design and smartphone UI design. Thus, the cluster can be transmitted to the controller of the vehicle 500 and provided to the user through the displays 511, 512, and 513 of the vehicle 500. However, this is only one example and is not limited to the above-described embodiment.

Optimized advertising information 1060 can be derived based on the above-described information. Here, as an example, optimized advertising information 1060 may be derived based on artificial intelligence. In more detail, referring to FIG. 10D, the artificial intelligence 800 may derive optimized advertising information as output information based on input information. Here, the input information may include at least one of user information 1010, vehicle driving information 1020, vehicle-related information 1030, location information 1040, and external information 1050. As an example, the user information 1010 may be information obtained through the device 600 based on FIG. 10A. Additionally, vehicle driving information 1020 may be information about driving a specific vehicle of a specific user based on FIG. 10B. Additionally, the vehicle-related information 1030 may be information about the user's vehicle use registered in the external server 700. Additionally, the location information 1040 may be information obtained based on the current location of the vehicle 500 or the location of the device 600. Additionally, the external information 1050 may be surrounding information related to the vehicle 500 or the device 600. As an example, the external information 1050 may be environmental information surrounding the vehicle 500 obtained through a highway toll gate or other RSU. Based on the above-described input information, optimized advertising information 1060 may be derived as output information through artificial intelligence 800. As a specific example, artificial intelligence 800 may perform learning based on the above-described input information. At this time, the artificial intelligence 800 may accumulate output information data based on input information and derive average information based on this. That is, each parameter to which the artificial intelligence 800 applies input information can be quantified to generate an average value. At this time, the above-described optimized advertising information 1060 can be derived as output information based on whether each parameter is higher or lower than the average value for a specific driver.

As a more specific example, the artificial intelligence 800 may reflect whether the driver is male and age information as the user information 1010 to derive an average value of driving information for people of similar age and of the same gender. Additionally, the artificial intelligence 800 can derive the average value of inter-vehicle information by reflecting information on maintaining the distance from the vehicle in front as vehicle driving information 1020. Additionally, the artificial intelligence 800 can check the user's driver's license period information and passenger information as vehicle-related information 1030 and compare this with the average value through parameters. Additionally, the artificial intelligence 800 may reflect the current location information of the vehicle based on the location information 1040 and obtain surrounding information through the RSU as external information 1050. Artificial intelligence 800 can derive optimized advertising information 1060 by reflecting the above-described information.

Here, the optimized advertisement information 1060 may be selected as a specific advertisement among list advertisements stored in a preset form depending on whether each value is higher or lower than the average based on the parameters of the artificial intelligence 800. That is, the artificial intelligence 800 can obtain a specific type of output information based on input information. At this time, the controller of the vehicle 500 can check the above-described optimized advertising information 1060 and display it on the cluster through the displays 511, 512, and 513.

Also, as an example, referring to FIG. 11A, the artificial intelligence 800 is located in a server or an external device and receives user information 1010 and vehicle driving information from each of the vehicle 500, the device 600, and the external server 700 ( 1020) and vehicle-related information 1030 can be acquired to perform learning and derive output information. As another example, referring to FIG. 11B, artificial intelligence 800 may be provided in a vehicle 500 and controlled through a controller of the vehicle 500. At this time, the vehicle 500 obtains user information 1010 from the device 600, vehicle-related information 1030 from the external server 700, and vehicle driving information 1020 through the controller as described above. It can operate as described.

Here, as an example, the artificial intelligence 800 may need learning and may need initial data for learning. At this time, the initial data for learning may be insurance record information based on the unique user ID of the device 600 user. Additionally, as an example, initial data for learning may be user usage record information stored in the external server 700. Additionally, initial data for learning may be accident occurrence data based on driving distance information and basic driving information of the user of the device 600. As another example, initial data for learning may be data that has been previously determined considering region, location, time, and other information. In other words, the artificial intelligence 800 may reflect existing data as initial data and perform learning by additionally reflecting user information 1010, vehicle driving information 1020, and vehicle-related information 1030. Additionally, the optimized advertising information 1060 can be continuously updated by providing feedback information each time it is output, and is not limited to a specific form.

Based on the above, the controller of the vehicle 500 may display and provide advertising information 1060 optimized for the driver in clusters through the displays 511, 512, and 513, but may not be limited to a specific form. .

As a specific example, FIG. 12 is a diagram showing a method of deriving optimized advertising information 1060 through artificial intelligence 800 based on the above-described information. Referring to FIG. 12, the controller of the vehicle 500 can obtain any one of the above-described input information based on V2X communication. Here, V2X communication may be communication between the vehicle 500 and another vehicle 1210. As another example, V2X communication may be communication between the vehicle 500 and surrounding installations 1220, 1230, 1240, and 1250. In other words, the vehicle 500 can perform V2X communication with entities that can communicate within a preset distance, and is not limited to a specific form. As an example, V2X communication may be performed based on a mode in which the vehicle 500 operates by limiting direct communication resources and communication methods. As another example, V2X communication may be a mode in which communication resources and communication methods are selected and controlled based on a base station or server that controls the vehicle 500. In other words, V2X communication can be set in a direction to perform efficient communication by considering the surrounding environment or other devices, and is not limited to a specific embodiment. At this time, as an example, the controller of the vehicle 500 may obtain the current location of the vehicle 500 and surrounding traffic volume information based on V2X communication. Additionally, the controller of the vehicle 500 may recognize destination information based on information input by the user through the vehicle 500 or device 600. Additionally, the vehicle 500 may obtain user information 1010 received from the device 600 and vehicle-related information 1030 received from the external server 700. At this time, the vehicle 500 can derive optimized advertising information 1060 through artificial intelligence 800 based on the above-described information, as described above.

Additionally, as an example, the controller of the vehicle 500 may control advertisements provided through the cluster based on the optimized advertisement information 1060 based on the above-described information. As an example, referring to FIG. 13A, the vehicle may provide optimized advertising information 1060 selected based on the above-described information to the user through the cluster. The controller of the vehicle 500 may receive traffic-related information from an RSU or a nearby installation 1310. As a specific example, the RSU or surrounding installation 1310 may be a traffic light, and the vehicle 500 may obtain information about the remaining time when stopped at a traffic signal. Here, advertisement playback needs to be restricted while the vehicle 500 is driving, and the controller of the vehicle 500 can play the selected optimized advertisement information 1060 in consideration of the remaining time and provide it to the user.

As another example, the information described above during the selection process may be reflected in the optimized advertising information 1060. As an example, the controller of the vehicle 500 may obtain information about the remaining time after the vehicle 500 stops and transmit this to the artificial intelligence 800. The artificial intelligence 800 may select an advertisement that does not exceed the remaining time in the process of deriving the optimized advertisement information 1060. As a more specific example, artificial intelligence 800 recognizes when an advertisement is played and when it ends by reflecting the vehicle's stopping point, processing time for deriving an optimized advertisement, and remaining time, and provides optimized advertisement information 1060. can be derived.

As another example, referring to FIG. 13B, the controller of the vehicle 500 may determine an optimized advertisement 1060 by considering the degree of autonomous driving settings. As an example, autonomous driving settings may consist of levels 0 to 5 (1330-1, 1330-2, 1330-3, 1330-4, and 1330-5). For example, autonomous driving setting level 0 (1330-1) may be a No Automation stage, and may be a stage in which the driver controls and is responsible for all aspects of driving. Level 1 (1330-2) may be a driver assistance level, and may be a level that assists the driver through adaptive cruise control and lane keeping functions. Level 2 (1330-3) is the partial automation stage, which may be a stage in which the vehicle controls the steering and acceleration and deceleration of the vehicle together with humans for a certain period of time within specific conditions. In other words, it may be a stage where the vehicle is in control but driver intervention is required. Level 3 (1330-4) is the conditional autonomous driving (Partial Automation) stage, where the system is responsible for driving in sections with specific conditions, such as highways, and may be a stage where the driver intervenes only in case of danger. Additionally, Level 4 (1330-5) may be the level at which autonomous driving is possible on most roads. Level 5 (1330-6) is the fully autonomous driving (High Automation) stage, where a driver is unnecessary and may be possible to drive with only passengers.

Here, as an example, the optimized advertising information 1060 is divided into each type 1340-1 based on the above-described autonomous driving setting levels 1330-1, 1330-2, 1330-3, 1330-4, and 1330-5. , 1340-2, 1340-3, 1340-4, 1340-5) can be set.

As a specific example, when optimized advertisement information 1060 is listed as output information in artificial intelligence 800, individual advertisements are set at autonomous driving setting levels (1330-1, 1330-2, 1330-3, 1330-4, It can be set to the type (1340-1, 1340-2, 1340-3, 1340-4, 1340-5) that matches 1330-5. That is, the artificial intelligence 800 can check the current autonomous driving setting level of the vehicle 500 and use only the corresponding list as the target of output information. As a specific example, among the advertisement list, advertisements with high image concentration and rapid image changes may be selected as output information only above a certain level among the autonomous driving setting levels. On the other hand, when video concentration is low and advertisements are provided through audio, it may be selected as output information for the vehicle 500 with a low autonomous driving setting level.

As another example, the selected advertisement may be played in different forms depending on the autonomous driving level. As an example, the start timing of an advertisement may be determined based on the autonomous driving setting level. As a specific example, when the front traffic light changes to yellow after a preset time, if the autonomous driving setting level is high, the advertisement can be played even when the front traffic light changes from yellow to red. On the other hand, in the case of vehicles with a low autonomous driving setting level, if the color changes to yellow after a preset time, the advertisement may end immediately.

As another example, referring to FIG. 13C, advertisement playback may be controlled based on the stopping time of the vehicle 500 and the autonomous driving setting level. For example, the lower the autonomous driving setting level, the more driver attention may be required. Accordingly, when the autonomous driving setting level is level 0 (1330-1), the controller of the vehicle 500 can check whether the vehicle 500 is stopped and play an advertisement a preset time after stopping. At this time, the preset time may become shorter as the autonomous driving setting level increases. Additionally, as an example, advertisements may be played regardless of whether the vehicle 500 is stopped above a preset autonomous driving setting level, and are not limited to a specific embodiment.

As another example, the same advertisement may be played in different ways depending on the autonomous driving setting level. As a specific example, among the autonomous driving setting levels, level 0 to level 2 (1330-1, 1330-2, 1330-3) may be a stage that requires driver intervention, and at that stage, advertisements may be played only as audio. In other words, advertisements can only be played in audio so as not to disturb the driver's driving. On the other hand, levels 3 to 5 (1330-4, 1330-5, 1330-6) are levels in which driver intervention is minimized, and advertisements can be played in both audio and video. That is, the controller of the vehicle 500 can play the advertisement considering the autonomous driving setting level.

As another example, the driver's driving pattern information may be derived and reflected in the artificial intelligence 800. Here, the driver's driving pattern information may be information derived from vehicle driving information 1020 measured by the controller of the vehicle 500. As an example, driving pattern information may also be set based on each stage. At this time, when the driving pattern information level is low, the driver can drive safely by focusing on low-speed driving. On the other hand, if the level of driving pattern information is high, the risk of accidents may be high due to drivers driving at high speeds. At this time, as an example, the artificial intelligence 800 may provide quiet music and video advertisements to drivers with a low driving pattern information level, and provide stimulating advertisements to drivers with a high driving pattern information level.

As another example, a driver's likelihood of causing an accident may be derived based on driving pattern information, and advertisement playback may be restricted to drivers with a high likelihood of causing an accident. For example, only audio advertisements may be provided to drivers with a high probability of causing an accident, and advertisements in the form of audio and video may be provided to drivers with a low probability of causing an accident, and are not limited to a specific form.

As another example, advertisements may be determined based on driver information and passenger information. As an example, the artificial intelligence 800 can obtain vehicle-related information 1030 from the external server 700 described above, and recognize passenger information and driver preference information based on this. Here, the optimized advertisement information 1060 can select an advertisement by recognizing passenger information and driver preference information. As a specific example, when children ride together, the optimized advertising information 1060 may select advertising information that children can view or advertising information for children. As another example, when the passenger is a lover, the optimized advertising information 1060 may be selected as information related to the places the lovers visit. That is, the optimized advertising information 1060 can be set to reflect information linked to the external server 700, and is not limited to the above-described embodiment.

As another example, advertisements may be selected based on whether the driver operates the navigation system. For example, an advertisement related to a change in destination or location may involve the driver operating the navigation, and the advertisement may be selected by reflecting the current location of the vehicle 500 or the driver's driving habits. As another example, an advertisement may be set to further reflect destination information and traffic information based on user input, and is not limited to the above-described embodiment.

Based on the above, an optimized advertisement 1060 can be derived. Here, as an example related to the above-described operation, referring to FIG. 14, the device 600 may transmit a connection request message including a unique user ID to the vehicle 500. (S1410) At this time, the connection request message is as described above. This may be a message for connecting to the vehicle 500 through an application provided based on the server and design management system 300. At this time, the vehicle 500 may determine whether the user's unique ID is a pre-registered ID. (S1420) As an example, the vehicle 500 needs to obtain and record vehicle driving information for each driver, so each There is a need to check whether the driver is a specific driver by checking the user's unique ID. At this time, if a specific driver is not registered, the vehicle 500 may perform a procedure for registering a unique user ID (S1430). As an example, the procedure for registering a unique user ID in the vehicle 500 may be performed using the server 500 described above. and may be performed through an application based on the design management system 300. Here, the application can manage information through the user's unique ID and vehicle's unique ID pair, as described above.

Afterwards, the controller of the vehicle 500 may record vehicle driving information based on the user's unique ID (S1440). After that, user information 1010, vehicle driving information 1020, location information 1030, and Optimized advertising information 1060 may be derived through artificial intelligence 800 based on at least one of the external information 1040. (S1450) After that, the advertisement to be provided is determined, and the vehicle 500 The controller can display advertisements on the cluster through the displays 511, 512, and 513 and provide them to the driver (S1460).

Figure 15 is a flowchart showing a method of safely providing advertising while driving in a V2X environment according to an embodiment of the present disclosure.

Referring to FIG. 15, the controller of the vehicle 500 may obtain user information 1010, vehicle driving information 1020, vehicle-related information 1030, location information 1040, and external information 1050. (S1510) Then, the controller of the vehicle 500 may derive optimized advertisement information based on artificial intelligence (S1520) and display the optimized advertisements in clusters through the displays 511, 512, and 513.

For example, user information, vehicle-related information, vehicle driving information, location information, and external information are applied as input information of artificial intelligence, and the first advertisement is applied as output information of artificial intelligence based on the input information, and the first advertisement is applied as output information of artificial intelligence based on the input information. may be selected as one of the advertisement lists containing at least one advertisement, as described above. At this time, the controller of the vehicle 500 checks whether the vehicle is stopped based on the vehicle driving information 1020, and if the vehicle is stopped, the vehicle ( 500) remaining stopping time information can be derived. At this time, the controller of the vehicle 500 may select the first advertisement that does not exceed the remaining stopping time information from the advertisement list.

Additionally, as an example, the first advertisement may be selected from the advertisement list by reflecting the vehicle's stopping time, the processing time in which the first advertisement is derived based on artificial intelligence, and the remaining stopping time information, as described above. As another example, the first advertisement may be selected from the advertisement list by further reflecting the vehicle's autonomous driving setting level information. As an example, the vehicle 500 controller may determine the playback time of the first advertisement by considering the vehicle's autonomous driving setting level information. When the vehicle 500 is at the first level, the controller of the vehicle 500 plays the first advertisement after a preset time from the stopping time of the vehicle 500, and when the vehicle 500 is at the second level, the controller of the vehicle 500 plays the first advertisement. The controller at 500 can play the first advertisement regardless of the vehicle's stopping time.

As another example, the controller of the vehicle 500 may further derive driving pattern information of the first driver based on the vehicle-related information 1030 and the vehicle driving information 1020. In addition, as an example, the current location information and traffic volume information of the vehicle 500 are further derived based on the location information 1040 and the external information 1050, and the first driver is further derived based on the driving pattern information, location information, and traffic volume information. The first advertisement can be selected by checking whether navigation can be operated, as described above.

Additionally, as an example, the user information 1010 includes at least one of the first driver's gender information, age information, educational background information, and social relationship information, and the vehicle driving information includes speed based on the first driver's vehicle circumnavigation. It may include at least one of information, yaw rate information, steering angle information, and autonomous driving setting information. Additionally, the controller of the vehicle 500 may be linked to the first device of the first driver and obtain user information 1010 of the first driver from the linked first device. Additionally, as an example, the vehicle 500 and the first device are linked based on an application provided by a server, and the server is based on the first user's unique ID for the first driver and the vehicle's unique ID of the vehicle 500. Linkage can be managed as described above.

The embodiments described above can be implemented at least partially as a computer program and recorded on a computer-readable recording medium. Computer-readable recording media on which programs for implementing the embodiments are recorded include all types of recording devices that store data that can be read by a computer. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, and optical data storage devices. Additionally, computer-readable recording media may be distributed across computer systems connected to a network, and computer-readable codes may be stored and executed in a distributed manner. Additionally, functional programs, codes, and code segments for implementing this embodiment can be easily understood by those skilled in the art to which this embodiment belongs.

Although the above-described specification has been described with reference to the embodiments shown in the drawings, these are merely illustrative examples, and those skilled in the art will understand that various modifications and modifications of the embodiments are possible therefrom. However, such modifications should be considered within the scope of technical protection of this specification. Therefore, the true technical protection scope of the present specification should be determined to include other implementations, other embodiments, and those equivalent to the claims according to the technical spirit of the appended claims.

Claims (9)

In a method of safely providing advertising while driving in a V2X (vehicle to everything) environment, executed by a vehicle controller,
Obtaining user information of the first driver;
Obtaining vehicle-related information of the first driver;
Obtaining vehicle driving information about the vehicle of the first driver;
Obtaining location information and external information of the vehicle; and
An advertisement providing method comprising selecting a first advertisement based on the user information, the vehicle-related information, the vehicle driving information, the location information, and the external information and outputting the first advertisement through a cluster.
According to claim 1,
The user information, the vehicle-related information, the vehicle driving information, the location information, and the external information are applied as input information for artificial intelligence,
The first advertisement is applied as output information of artificial intelligence based on the input information,
The method of providing an advertisement, wherein the first advertisement is selected from an advertisement list including at least one advertisement.
According to clause 2,
The controller of the vehicle determines whether the vehicle is stopped based on the vehicle driving information,
When the vehicle is stopped, information on the remaining stopping time of the vehicle is derived based on the external information obtained from a road side unit (RSU),
An advertisement providing method that selects the first advertisement that does not exceed the remaining stopping time information from the advertisement list.
According to clause 3,
An advertisement providing method in which the first advertisement is selected from the advertisement list by reflecting the stopping time of the vehicle, the processing time for deriving the first advertisement based on the artificial intelligence, and the remaining stopping time information.
According to clause 3,
The first advertisement is selected from the advertisement list by further reflecting the autonomous driving setting level information of the vehicle,
The vehicle controller determines the playback time of the first advertisement in consideration of the autonomous driving setting level information of the vehicle,
When the vehicle is at the first level, the vehicle controller plays the first advertisement after a preset time from the stopping time of the vehicle,
When the vehicle is at the second level, the vehicle controller plays the first advertisement regardless of the stopping time of the vehicle.
According to clause 3,
The vehicle-related information of the first driver is information obtained based on an external server,
The vehicle-related information includes driver's license information, passenger information, and usage period information,
The first advertisement is determined based on the vehicle-related information,
The first advertisement is an advertisement related to the passenger based on the passenger information among the vehicle-related information and is selected from the advertisement list.
According to clause 3,
The controller of the vehicle further derives driving pattern information of the first driver based on the vehicle-related information and the vehicle driving information,
Further derive current location information and traffic volume information of the vehicle based on the location information and the external information,
An advertisement providing method that selects the first advertisement by checking whether the first driver can operate the navigation based on the driving pattern information, the location information, and the traffic volume information.
According to claim 1,
The user information includes at least one of the first driver's gender information, age information, educational background information, and social relationship information,
The vehicle driving information includes at least one of speed information, yaw rate information, steering angle information, and autonomous driving setting information based on the first driver's vehicle circumnavigation.
A computer program stored on a computer-readable medium in combination with hardware to execute the method according to any one of claims 1 to 8.

Images